activity
20192026
most citedDOOR-SLAM: Distributed, Online, and Outlier Resilient SLAM for Robotic Teams

234 citations · 347 across the 11 of their papers we have counts for

collaborators
Showing 2026Show all

6 papers · 1 filter

cs.RO2026

InfraVLA: Extending Vision-Language-Action Navigation with Infrastructure Cameras

Lukas Vierling, Benjamin Ramtoula, Luke Robinson +2

Many indoor environments in which robots operate, such as warehouses, offices, and hospitals, already have cameras installed. They observe parts of the building that the robot cann…

cs.RO2026

Beyond Visual Quality: A Study of Test-Time Planning with World Action Models

Jianhao Yuan, Yu Yuan, Benjamin Ramtoula +5

World action models generate actions together with visual predictions of their consequences. These paired outputs create the potential for planning by sampling multiple actions fro…

cs.CV2026

PriorEye: Geospatial Visual Priors for End-to-End Autonomous Driving

Kyuhwan Yeon, Benjamin Ramtoula, Daniele De Martini

Most end-to-end autonomous driving methods rely solely on instantaneous sensor observations, limiting them to reactive behavior without the anticipatory foresight human drivers emp…

cs.RO2026

Beyond a Shadow of a Doubt: Close Proximity Geometry Reconstruction Using FMCW Radar Shadow Effects

Felix de Trogoff du Boisguezennec, Benjamin Ramtoula, Daniele De Martini

Reliable perception in adverse conditions remains challenging for autonomous systems, as cameras and LiDAR degrade in poor lighting or weather. Millimetre-wave FMCW radar is robust…

cs.RO2026

Multi-Robot Planning and Control from CCTV Camera Networks in a Real Warehouse

Luke Robinson, Benjamin Ramtoula, Anas Izaaryene +2

Off-board control of mobile robots from cameras embedded in the environment offers a practical path to scalable autonomy, moving sensing and compute off the robots. We extend this…

cs.RO2026

3D Foundation Model-Based Loop Closing for Decentralized Collaborative SLAM

Pierre-Yves Lajoie, Benjamin Ramtoula, Daniele De Martini +1

Decentralized Collaborative Simultaneous Localization And Mapping (C-SLAM) techniques often struggle to identify map overlaps due to significant viewpoint variations among robots.…